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All Journal Seminar Nasional Aplikasi Teknologi Informasi (SNATI) Scientific Journal of Informatics Conference SENATIK STT Adisutjipto Yogyakarta MEANS (Media Informasi Analisa dan Sistem) Abdimas Altruis: Jurnal Pengabdian Kepada Masyarakat Prosiding Seminar Nasional Teknologi Informasi dan Bisnis Prosiding Seminar Nasional Ilmu Sosial dan Teknologi (SNISTEK) Widya Teknik
Paulina H. Prima Rosa
Universitas Sanata Dharma
Aerospace Engineering Humanities Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Mechanical Engineering Physics Social Sciences Other

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Decision Support System to Choose Digital Single Lens Camera with Simple Additive Weighting Method Putri, Tri Pina; Rosa, Paulina H. Prima
Scientific Journal of Informatics Vol 3, No 2 (2016): November 2016
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/sji.v3i2.7913

Abstract

One of the technologies that evolve today is Digital Single Lens Reflex (DSLR) camera. The number of products makes users have difficulties to choose the appropriate camera based on their criteria. Users may utilize several ways to help them choosing the intended camera such as using magazine, internet, and other media. This paper discusses about a web based decision support system to choose cameras by using SAW (Simple Additive Weighting) method in order to make the decision process more effective and efficient. This system is expected to give recommendations about the camera which is appropriate with the user’s need and criteria based on the cost, the resolution, the feature, the ISO, and the censor. The system was implemented by using PHP and MySQL. Based on the result of questionnaire distributed to 20 respondents, 60% respondents agree that this decision support system can help users to choose the appropriate camera DSLR in accordance with the user’s need, 60% of respondents agree that this decision support system is more effective to choose DSLR camera and 75% of respondents agree that this system is more efficient. In addition, 60.55% of respondents agree that this system has met 5 Es Usability Framework.
Application of CT-Pro Algorithm For Crime Analysis Atmaja, Eduardus Hardika Sandy; Simaremare, Risky; Rosa, Paulina Heruningsih Prima
SENATIK STT Adisutjipto Vol 5 (2019): Peran Teknologi untuk Revitalisasi Bandara dan Transportasi Udara [ISBN XXX-XXX-XXXXX-
Publisher : Sekolah Tinggi Teknologi Adisutjipto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28989/senatik.v5i0.360

Abstract

The large amount of crime data generally becomes a pile of data that lacks of information. Data mining can be implemented in various fields such as crime. Data mining techniques can be used to find information from crime data that has been collected by the police. This study analyzed 3.198 crime data of Polresta Yogyakarta in 2016-2018. This study was conducted to determine the pattern of interrelationships between regions with potential crime in the region using association rule mining with CT-PRO algorithm. System testing was done by changing support and confidence values to find best crime patterns. The results were support and confidence values that can produce association rules are 8,59% and 70% with one rule, namely: "If the committed crime is CURAT then the crime occures in MUKIM." The rule has 70,5% confidence, 275 support count and 1,66  lift ratio which means the rule were in the strong category.
DECISION SUPPORT SYSTEM TO CHOOSE DIGITAL SINGLE LENS CAMERA WITH SIMPLE ADDITIVE WEIGHTING METHOD Putri, Tri Pina; Rosa, Paulina H. Prima
Scientific Journal of Informatics Vol 3, No 2 (2016): November 2016
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/sji.v3i2.7913

Abstract

One of the technologies that evolve today is Digital Single Lens Reflex (DSLR) camera. The number of products makes users have difficulties to choose the appropriate camera based on their criteria. Users may utilize several ways to help them choosing the intended camera such as using magazine, internet, and other media. This paper discusses about a web based decision support system to choose cameras by using SAW (Simple Additive Weighting) method in order to make the decision process more effective and efficient. This system is expected to give recommendations about the camera which is appropriate with the users need and criteria based on the cost, the resolution, the feature, the ISO, and the censor. The system was implemented by using PHP and MySQL. Based on the result of questionnaire distributed to 20 respondents, 60% respondents agree that this decision support system can help users to choose the appropriate camera DSLR in accordance with the users need, 60% of respondents agree that this decision support system is more effective to choose DSLR camera and 75% of respondents agree that this system is more efficient. In addition, 60.55% of respondents agree that this system has met 5 Es Usability Framework.
Decision Support System to Choose Digital Single Lens Camera with Simple Additive Weighting Method Putri, Tri Pina; Rosa, Paulina H. Prima
Scientific Journal of Informatics Vol 3, No 2 (2016): November 2016
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/sji.v3i2.7913

Abstract

One of the technologies that evolve today is Digital Single Lens Reflex (DSLR) camera. The number of products makes users have difficulties to choose the appropriate camera based on their criteria. Users may utilize several ways to help them choosing the intended camera such as using magazine, internet, and other media. This paper discusses about a web based decision support system to choose cameras by using SAW (Simple Additive Weighting) method in order to make the decision process more effective and efficient. This system is expected to give recommendations about the camera which is appropriate with the user’s need and criteria based on the cost, the resolution, the feature, the ISO, and the censor. The system was implemented by using PHP and MySQL. Based on the result of questionnaire distributed to 20 respondents, 60% respondents agree that this decision support system can help users to choose the appropriate camera DSLR in accordance with the user’s need, 60% of respondents agree that this decision support system is more effective to choose DSLR camera and 75% of respondents agree that this system is more efficient. In addition, 60.55% of respondents agree that this system has met 5 Es Usability Framework.
SISTEM PENDUKUNG PENGAMBILAN KEPUTUSAN PEMILIHAN METODE KONTRASEPSI Johanes Babtista Mahendra; PH Prima Rosa
Seminar Nasional Aplikasi Teknologi Informasi (SNATI) 2011
Publisher : Jurusan Teknik Informatika, Fakultas Teknologi Industri, Universitas Islam Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Dalam tulisan ini dijelaskan pembuatan sebuah sistem pendukung pengambilan keputusan berbasispengetahuan yang dapat membantu pasangan suami istri untuk memilih metode kontrasepsi sesuai dengankondisi dan kebutuhannya. Sistem ini menggunakan algoritma brute force untuk subsistem modelnya. Sistemdibangun berbasis web menggunakan bahasa pemrograman Personal Home Page (PHP). Sistem ini telah diujimenggunakan metode pengujian black box untuk memastikan kecocokan antara perhitungan sistem denganperhitungan manual. Selain itu, sistem juga telah diujicoba dengan cara menyebarkan kuesioner kepadaseorang pakar Keluarga Berencana dan 17 responden lain. Berdasarkan hasil pengujian, dapat disimpulkanbahwa sistem ini membantu dalam mengambil keputusan terhadap pemilihan metode kontrasepsi yang sesuaidengan kondisi dan kebutuhan pengguna, mudah untuk digunakan, murah, cepat, dan tepat.
Sistem Pendukung Pengambilan Keputusan Pengadaan Obat Menggunakan Model Pareto ABC dan Optimasi Kualitatif (Studi Kasus: Apotik PS) Ancelmatini Nurwulandari; Paulina H. Prima Rosa
Seminar Nasional Aplikasi Teknologi Informasi (SNATI) 2013
Publisher : Jurusan Teknik Informatika, Fakultas Teknologi Industri, Universitas Islam Indonesia

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Abstract

Apotik PS sering mengalami kesulitan dalam mengambil keputusan untuk pengadaan obat. Hal ini disebabkan karena adanya faktor yang harus dipertimbangkan oleh pengelola apotik yaitu jumlah penjualan item obat, investasi, dan alokasi biaya. Pengelola apotik dituntut untuk menemukan cara mengendalikan pemesanan yang tepat dengan biaya yang optimal sehingga mengurangi terjadinya penumpukan obat dan menghindari masa kadaluarsa obat. Untuk itu dalam makalah ini diuraikan pengembangan sistem pendukung pengambilan keputusan pengadaan obat yang dapat memberikan rekomendasi pengadaan obat kepada pengelola apotik. Sistem dirancang dengan memperhatikan kebutuhan pengguna terkait proses analisis Pareto ABC, yaitu metode yang digunakan untuk analisis perencanaan sediaan. Sistem ini dibuat dalam bentuk aplikasi desktop menggunakan Pemrograman Java dan Database Management System MySQL. Model yang digunakan adalah metode analisis Pareto ABC dan optimasi kualitatif. Sistem telah diuji oleh pengguna dengan hasil bahwa sistem sesuai dengan kebutuhan pengguna dan rekomendasinya dapat mendukung pengambilan keputusan pengadaan obat di apotik.
Klasifikasi Jenis Persalinan pada Ibu Hamil dengan Metode Random Forest Ayuna Armonica; Paulina H. Prima Rosa
Prosiding Seminar Nasional Teknologi Informasi dan Bisnis Prosiding Seminar Nasional Teknologi Informasi dan Bisnis (SENATIB) 2022
Publisher : Fakultas Ilmu Komputer Universitas Duta Bangsa Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (264.092 KB)

Abstract

Salah satu faktor penyebab kematian ibu pada saatmelahirkan adalah keterlambatan pengambilan keputusan padasaat penanganan persalinan. Untuk mengidentifikasi penangananyang tepat dalam persalinan, dalam penelitian ini dibangunmodel klasifikasi jenis persalinan ibu hamil menggunakan metoderandom forest terhadap 302 data yang diambil dari RSUDArgamakmur. Model klasifikasi diuji dengan variasi jumlah tree2, 4, 8, 16, 32, 64, 128, 256, 512, 1024, 2048, 4096 pada data aslidan data yang telah dilakukan balancing. Dengan teknik crossvalidation, diperoleh akurasi terbaik 92,55130% pada jumlahfold 3 dan jumlah tree 64.
Application of CT-Pro Algorithm For Crime Analysis Atmaja, Eduardus Hardika Sandy; Simaremare, Risky; Rosa, Paulina Heruningsih Prima
SENATIK STT Adisutjipto Vol 5 (2019): Peran Teknologi untuk Revitalisasi Bandara dan Transportasi Udara [ISBN 978-602-52742-
Publisher : Institut Teknologi Dirgantara Adisutjipto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28989/senatik.v5i0.360

Abstract

The large amount of crime data generally becomes a pile of data that lacks of information. Data mining can be implemented in various fields such as crime. Data mining techniques can be used to find information from crime data that has been collected by the police. This study analyzed 3.198 crime data of Polresta Yogyakarta in 2016-2018. This study was conducted to determine the pattern of interrelationships between regions with potential crime in the region using association rule mining with CT-PRO algorithm. System testing was done by changing support and confidence values to find best crime patterns. The results were support and confidence values that can produce association rules are 8,59% and 70% with one rule, namely: "If the committed crime is CURAT then the crime occures in MUKIM." The rule has 70,5% confidence, 275 support count and 1,66  lift ratio which means the rule were in the strong category.
PENINGKATAN KESIAPAN GURU INFORMATIKA KABUPATEN MAGELANG UNTUK MENGIMPLEMENTASIKAN MATA PELAJARAN INFORMATIKA DALAM KURIKULUM MERDEKA Rosa, Paulina H. Prima
ABDIMAS ALTRUIS: Jurnal Pengabdian Kepada Masyarakat Vol 6, No 1 (2023): April 2023
Publisher : Universitas Sanata Dharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24071/aa.v6i1.5856

Abstract

The importance of digital literacy and the challenges of the industrial revolution 4.0 that students must face are the main reasons why Informatics become one of subjects in Merdeka Curriculum taught at the junior and senior high school levels in Indonesia. However, in implementing the Merdeka Curriculum, especially the Informatics subject, there are still many schools and teachers who are not ready and do not understand the content and teaching materials of Informatics subjects which are very different from ICT subjects in the 2013 Curriculum. Therefore, the community service team of Informatics Study Program held training for Informatics teachers in Magelang Regency. 81 teachers participated in online and offline training and mentoring focused on 7 elements of informatics knowledge. The teacher training results showed that 36.4% of the participants thought the training activities helped, and 63.6% thought that the training activities beneficently improved their understanding of Informatics material in the Merdeka curriculum. In addition, 36.4% considered themselves more confident, 45.5% were ready, and 18.1% were quite ready about implementing the Informatics subject. As a follow-up, teachers still expect ongoing and more intensive assistance regarding computational thinking, algorithms and programming, cross-disciplinary practice and preparation of teaching materials.
Klasifikasi Prestasi Akademik Mahasiswa Berdasar Hasil Tes Potensi Akademik Menggunakan Support Vector Machine Agustinus Handaya Ajitama; Paulina H. Prima Rosa
Prosiding Vol 4 (2022): SNISTEK
Publisher : LPPM Universitas Putera Batam

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Abstract

This paper describes research that aims to classify student academic achievement based on the results of the Academic Potential Test (APT), using data containing APT scores and Grade Point Average (GPA) in semester 1 to semester 4. To get the best accuracy, some experiments were carried out by varying the fold, kernel, and multiclass. The folds used in the experiment are 5, 7, and 9 folds. The kernel used is a linear kernel, Gaussian Radial Basic Function (RBF), and polynomial. Meanwhile, the multiclass used in this experiment is one against one and one against all. The highest accuracy of 80% was obtained in the GPA classification in semester 4 using multiclass one against one and one against all, RBF kernel, and 9-fold cross validation
Co-Authors Agustinus Handaya Ajitama Ancelmatini Nurwulandari Atmaja, Eduardus Hardika Sandy Ayuna Armonica C. Hutomo Suryolaksono Haristu, Reinardus Aji Haristu, Reinardus Aji Johanes Babtista Mahendra Simaremare, Risky Tri Pina Putri, Tri Pina